{"id":"W2610787465","doi":"10.5210/ojphi.v9i1.7791","title":"2016 International Society for Disease Surveillance Conference New Frontiers in Surveillance: Data Science and Health Security","year":2017,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease surveillance; Public health; Public health surveillance; Globe; Global health; Political science; Data sharing; Communicable disease; Medicine; Public relations; Alternative medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01448256,0.0002110665,0.0008046589,0.0003029023,0.0004129822,0.0004083858,0.001706755,0.00005776484,0.00001062439],"category_scores_gemma":[0.0058367,0.0001793153,0.0001044005,0.0002524546,0.0005102147,0.003131305,0.0005767691,0.0004449584,0.000001207706],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007577075,"about_ca_system_score_gemma":0.02990679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001351105,"about_ca_topic_score_gemma":0.0002829327,"domain_scores_codex":[0.9959727,0.00006616962,0.001845317,0.0002480502,0.001152253,0.0007154887],"domain_scores_gemma":[0.9922168,0.00009771567,0.002853063,0.001223949,0.001595131,0.002013382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001762924,0.0003254193,0.4645716,0.001095735,0.00009892564,0.00000580625,0.001178224,0.000005266803,8.444793e-7,0.000202815,0.3505141,0.181825],"study_design_scores_gemma":[0.004533273,0.0002400475,0.6187357,0.0004516912,0.000006424494,0.00005050834,0.0009035995,0.08312044,1.928949e-7,0.0002631257,0.2915073,0.0001876622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1640905,0.007017378,0.1136747,0.6873529,0.006019116,0.00304028,0.0180705,0.0001080938,0.0006265813],"genre_scores_gemma":[0.737114,0.03240123,0.2106374,0.01532552,0.00160396,0.000008747729,0.002666456,0.00005133218,0.0001913431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6720273,"threshold_uncertainty_score":0.9755927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1457972847291419,"score_gpt":0.4225255248324654,"score_spread":0.2767282401033235,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}